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On the relation between probabilistic logic and statistical inference / Youssef Prince Attya ; Supervised Elsayed Elsherpieny

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Youssef Prince Attya , 2014Description: 68 Leaves ; 30cmOther title:
  • عن العلاقة بين المنطق الاحتمالى و الاستدلال الإحصائى [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics Summary: A new kind of continuous infinite valued logic will be introduced. The elements of this logic are truth function t that assigns truth value belongs to [0, 1] to any statement, value from a scale of deterministic variable or any function of deterministic variable to represent different degrees of truth, probability function p to assign value from the range [0, 1] to any event or random variable to represent degree of likelihood, both truth and probability functions satisfies the classical axioms of probability theory
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.03.M.Sc.2014.Yo.O (Browse shelf(Opens below)) Not for loan 01010110065155000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.18.03.M.Sc.2014.Yo.O (Browse shelf(Opens below)) 65155.CD Not for loan 01020110065155000

Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Mathematical Statistics

A new kind of continuous infinite valued logic will be introduced. The elements of this logic are truth function t that assigns truth value belongs to [0, 1] to any statement, value from a scale of deterministic variable or any function of deterministic variable to represent different degrees of truth, probability function p to assign value from the range [0, 1] to any event or random variable to represent degree of likelihood, both truth and probability functions satisfies the classical axioms of probability theory

Issued also as CD

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